Success versus Failure Prediction Model for Small Businesses in Ghana

dc.contributor.authorGyimah, Prince
dc.date.accessioned2023-11-28T13:11:14Z
dc.date.available2023-11-28T13:11:14Z
dc.date.issued2019
dc.description.abstractThis study tests the validity of Lussier model in predicting success or failure of small businesses in Ghana, Africa. The study uses logistic regression to analyze 101 failed and 107 successful small businesses. The results of the study support the model validity in Ghana and three variables (capital, economic timing, and marketing skills) were signifi cant in predicting small businesses success or failure. The model also predicted 86.5% of the businesses accurately with a high R-square value. This study is the first to test the Lussier model in Africa and reinforces the validity of the Lussier model as a global success or failure prediction model that contributes to theory and practice. Implications for future and current entrepreneurs; government agencies that train, advice and assist small business owners; public policy makers; educa tors; suppliers; lenders; and consultants are presented
dc.identifier.citationGyimah, P., Appiah, K. O., & Lussier, R. N. (2020). Success versus failure prediction model for small businesses in Ghana. Journal of African Business, 21(2), 215-234.
dc.identifier.urihttps://ir.aamusted.edu.gh/handle/123456789/1010
dc.language.isoen
dc.publisherRoutledge
dc.titleSuccess versus Failure Prediction Model for Small Businesses in Ghana
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Success versus Failure Prediction Model for Small Businesses in Ghana (1).pdf
Size:
1.8 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: